API cost decision in 10 seconds

🔥DeepSeek V4 Flash 0731 vs Laguna M.1

Pick DeepSeek V4 Flash 0731 when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick DeepSeek V4 Flash 0731 when budget and context both matter.

On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 is estimated at $0.17 vs $0.4 for Laguna M.1, saving $0.23 (57.5% lower).

Cost-first pickDeepSeek V4 Flash 0731
Context-first pickDeepSeek V4 Flash 0731
Sample savings$0.2357.5%
10x traffic gap$2.3

DeepSeek V4 Flash 0731 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.3. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V4 Flash 0731 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4 Flash 0731Laguna M.1
Input-heavy / RAG5M input + 500K outputDeepSeek V4 Flash 0731$0.49$1.2
Balanced workload1M input + 1M outputDeepSeek V4 Flash 0731$0.26$0.6
Output-heavy chatbot1M input + 5M outputDeepSeek V4 Flash 0731$0.98$2.2
Cheaper input DeepSeek V4 Flash 0731 $0.08 vs $0.2 / 1M

DeepSeek V4 Flash 0731 is $0.12 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output DeepSeek V4 Flash 0731 $0.18 vs $0.4 / 1M

DeepSeek V4 Flash 0731 is $0.22 cheaper per 1M output tokens (55% lower; 2.22x difference).

Larger context DeepSeek V4 Flash 0731 1.31M vs 262.14K

DeepSeek V4 Flash 0731 has 1.05M more context (5x larger).

Sample workload DeepSeek V4 Flash 0731 $0.17 vs $0.4

DeepSeek V4 Flash 0731 is $0.23 cheaper on the standard workload (57.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Flash 0731 Calculating… Estimated API cost
Laguna M.1 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

DeepSeek V4 Flash 0731 has the lower input price; DeepSeek V4 Flash 0731 has the lower output price; DeepSeek V4 Flash 0731 offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4 Flash 0731 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for DeepSeek V4 Flash 0731 and $0.4 for Laguna M.1.

Best Fit

Choose DeepSeek V4 Flash 0731 when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Laguna M.1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 is estimated at $0.17 vs $0.4 for Laguna M.1, saving $0.23 (57.5% lower).
  • DeepSeek V4 Flash 0731 is $0.23 cheaper on the standard workload (57.5% lower).
  • DeepSeek V4 Flash 0731 is $0.12 cheaper per 1M input tokens (60% lower; 2.5x difference).
  • DeepSeek V4 Flash 0731 is $0.22 cheaper per 1M output tokens (55% lower; 2.22x difference).
  • DeepSeek V4 Flash 0731 has 1.05M more context (5x larger).
Head-to-Head Specs
Feature🔥DeepSeek V4 Flash 0731
(DeepSeek)
Laguna M.1
(Poolside)
Input Price
prompt tokens per 1M
$0.08$0.2
Completion Price
per 1M tokens
$0.18$0.4
Sample Workload Cost
1M input + 500K output
$0.17$0.4
Context Window1.31M262.14K
Release Date
Popularity#1

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V4 Flash 0731On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 is estimated at $0.17 vs $0.4 for Laguna M.1, saving $0.23 (57.5% lower).
High-volume input processingDeepSeek V4 Flash 0731Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V4 Flash 0731Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Flash 0731A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
Larger context near this budget
  • No larger-context model is currently tracked within a close sample-cost band.

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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DeepSeek catalog

Review all tracked DeepSeek models before deciding whether this matchup is the right shortlist.

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Poolside catalog

Check other Poolside models with comparable pricing, context, or release timing.

Open Poolside models
DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

Laguna M.1

Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 256K...